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APCyc

imported

therapeutics/apcyc

Autonomous cyclization and property-aware design for cyclic peptides.

Machine-generated from the listed sources and not yet reviewed by a human.

APCyc project image
GitHub preview card for HKUSTGZ-ML4Health-Lab/APCyc. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Therapeutics
Subcategory
unknown
License
MIT(osi)
Status
active
Maturity
deployed
Organization
HKUSTGZ-ML4Health-Lab
Country
unknown
Documentation
unknown
Tags
cyclic-peptides · diffusion-model · drug-discovery · protein-design
Regulatory
unknown
similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

  • cycpeptmpcyclic-peptides

    Implementation of CycPeptMP, an accurate and efficient model for predicting the membrane permeability of cyclic peptides

  • alphafold3-macdiffusion-model · drug-discovery

    Run AlphaFold 3 protein structure prediction natively on Apple Silicon Macs (M1/M2/M3/M4). MLX inference, web UI, restraint-guided docking.

  • hybridock-pepdiffusion-model · drug-discovery

    Hybrid peptide docking: RAPiDock diffusion sampling + physics-based rescoring (iGEM 2026)

  • MolCraftDiffusiondiffusion-model · drug-discovery

    A generative AI framework for 3D molecular generation and data-driven molecular design in computational chemistry.

  • MULTICOM_liganddiffusion-model · drug-discovery

    Comprehensive ensembling of protein-ligand structure and affinity prediction methods (CASP16)

  • PhoreGendiffusion-model · drug-discovery

    PhoreGen: Pharmacophore-Oriented 3D Molecular Generation towards Efficient Feature-Customized Drug Discovery https://www.nature.com/articles/s43588-025-00850-5

sources
  1. api.github.com/repos/HKUSTGZ-ML4Health-Lab/APCyc
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2026-07-07, 8 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/37.json→ .entries["apcyc"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.